1. Solving real life issues using Big Data
SHEO KUMAR
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2. Replacing Routine Maintenance With Predictive Analytics
By combining smart algorithms with the Web of Things, we can both cut costs and increase operational effectiveness.
Algorithms analyze that data from thousands of trucks to predict when a part is likely to break down,
To save millions in maintenance costs.

3. The New Consumer Conversation
Pre-canned answers that customers would check off or had to read genuine responses one by one.
To evaluate thousands of responses and understand what their customers really thought

4. Contd..
Big data as a purely analytical effort, but sometimes it can be most useful improving communication and transparency.
Big data is enabling a new consumer conversation that uses natural language processing

5. Improving Public Safety
Feel safe by keeping watch, responding quickly and intervening when trouble comes .
Demographics in different areas of the city affect crime rates?
By combining chatter gleaned from social media with predictive crime analytics

6. How Big Data Works ?
Big initiatives with big budgets that amount to little or nothing
create a highly publicized “big data initiative.”
Create separate data centres for problems identified.

7. Focus On The Core
Poring over documents and shuffling papers is avoided.
Narrowing down possibilities helps us to make the data to be actionable

8. Increase Visibility Across The Enterprise
help the entire enterprise work as one functional unit
Big data techniques allow us to all work from the same data set and pull out what we need

9. Build Collaboration
helping one group communicate effectively with the other
bringing analytical capabilities to much broader class of people who are not specialists

10. Contd..
By letting giving people at the point of service access to expert level insights.
As a result, the entire organization benefits
big data is not to try to build a better system, but to build a better enterprise